Principal Applied Scientist, Sponsored Products
1 week ago
PhD in Computer Science, Statistics or related field.
- 10+ years of applied ML experience in deploying ML solutions to customer facing products.
- 2+ years hands-on experience leading multiple ML teams to design products that satisfy a customer need.
- Track record of delivering large-scale and high-quality ML solutions.
- Experience in taking on & using ML to deliver on business goals.
Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.
The Detail page Ad relevance team in Sponsored Products organization is responsible for measuring the ads relevance and suppressing the irrelevant ads for optimal shoppers’ experience. We build advanced deep-learning models, large-scale machine-learning (ML) pipelines, and real-time serving infra to determine the relevance of ads with immediate detail page context, widgets the ads are served and shoppers’ intent on all devices in all marketplaces. Through precise estimation of ad relevance and their long-term value, we aim to drive optimal ads allocation and pricing, and help to deliver a relevant, engaging and delightful ads experience to Amazon shoppers. As the business and the complexity of various new initiatives we take continues to grow, we are looking for energetic, entrepreneurial, and self-driven science leaders to join the team.
Key job responsibilities
**As a Principal Applied Scientist in the team, you will**:
- Be single threaded owner of Ad relevance in Detail page: develop relevance models, own relevance Andon Cord deep dive, report & audit DP relevance metrics: dive deep into relevance regression and develop their solutions to improve.
- Seek to understand in depth the Sponsored Products offering at Amazon and identify areas of opportunities to grow our business via principled ML solutions.
- Mentor and guide the applied scientists in our organization and hold us to a high standard of technical rigor and excellence in ML.
- Design and lead organization wide ML roadmaps to help our Amazon shoppers have a delightful shopping experience while creating long term value for our sellers.
- Work with our engineering partners and draw upon your experience to meet latency and other system constraints.
- Identify untapped, high-risk technical and scientific directions, and simulate new research directions that you will drive to completion and deliver.
- Be responsible for communicating our ML innovations to the broader internal & external scientific community.
Toronto, ON, CAN
- Experience in shipping large-scale deep learning models for online recommendation, personalization, or search.
- Experience partnering with engineering teams to ensure deep learning solutions meet latency requirements.
- Experience in influencing product strategy through cutting edge research in deep learning.
- Evidence of producing internal or external publications that motivate new lines of research.
- Excellent verbal and written communication.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.
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